Data science roles bridge statistics, programming, and business intelligence. Demand is strong across all sectors (from fintech to e-commerce), with Python, SQL, and cloud data platforms (Snowflake, BigQuery, dbt) as the core stack.
Implement Big Data Technologies: Implement Big Data technologies to support the development of data-driven solutions. Big Data Technologies: Experience working with Big Data technologies, including API development and…
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Implement Big Data Technologies: Implement Big Data technologies to support the development of data-driven solutions. Big Data Technologies: Experience working with Big Data technologies, including API development and data processing frameworks.
Liaise with business team and technical leads, gather requirements, identify data sources, identify data quality issues, design target data structures, develop pipelines and data processing routines, perform unit…
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Liaise with business team and technical leads, gather requirements, identify data sources, identify data quality issues, design target data structures, develop pipelines and data processing routines, perform unit testing and support UAT. Work with data scientist and business analytics team to assist in data ingestion and data-related technical issues.
Your role will transform complex data into strategi business insights, designing data systems, ensuring data integrity and presenting findings to support business decisions. An ideal candidate will have a robust…
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Your role will transform complex data into strategi business insights, designing data systems, ensuring data integrity and presenting findings to support business decisions. An ideal candidate will have a robust background in data analysis, business acumen, market insight to leverage data to support the business decision.
DUBAI BASED ROLE. Role Summary : Within the Commercial Finance function, Property Finder is looking for a Head of Data Science (Finance) to lead advanced analytics and data science initiatives that enable smarter…
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DUBAI BASED ROLE. Role Summary : Within the Commercial Finance function, Property Finder is looking for a Head of Data Science (Finance) to lead advanced analytics and data science initiatives that enable smarter commercial decisions, client growth, and monetization outcomes.
Own the end-to-end data strategy, ensuring analytics scale effectively across all business functions. Experience scaling a data-driven team, from data instrumentation and dashboards to experimentation and insight…
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Own the end-to-end data strategy, ensuring analytics scale effectively across all business functions. Experience scaling a data-driven team, from data instrumentation and dashboards to experimentation and insight discovery.
#TechnicalSupport #ESL #RetailTech #CustomerService #GraduateOpportunity Your Key Responsibilities Will Include: Provide technical support to local retail customers and partners for ESL (Electronic Shelf Label) related…
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#TechnicalSupport #ESL #RetailTech #CustomerService #GraduateOpportunity Your Key Responsibilities Will Include: Provide technical support to local retail customers and partners for ESL (Electronic Shelf Label) related solutions. Provide technical training to customers and local partners.
Good knowledge of Data Marts and Data Warehousing concepts. Implement Cloud based Enterprise data warehouse with multiple data platform along with Snowflake and NoSQL environment to build data movement strategy.
Utilize and maintain modern orchestration tools (like Airflow) to manage complex data workflows. Implement containerization (Kubernetes) for deploying and scaling data services reliably.
Data Modeling Create and maintain enterprise-level conceptual, logical, and physical data models tailored for both structured and unstructured data. Data Governance - Hands-on experience with data cataloging, lineage…
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Data Modeling Create and maintain enterprise-level conceptual, logical, and physical data models tailored for both structured and unstructured data. Data Governance - Hands-on experience with data cataloging, lineage tools and building Compliance by Design frameworks.
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Yes. Remote-friendly AI and ML roles in the EU have grown over 30% year-on-year. Germany, France, the Netherlands, and Spain lead in volume. Use the AI and EU filters together to surface them quickly, and check the salary estimate badge to ensure the range meets your expectations.
How fresh are the job postings?
Listings are refreshed continuously from employer feeds and normalised daily. Each card shows a posted date pill so you can see exactly how old a listing is. Jobs posted within the last 7 days receive a green New badge. Listings older than 30 days receive a May be filled warning.
Do roles include salary estimates?
Yes. Most listings show an Est. salary pill derived from Catalitium's location-based salary database, blended with any employer-disclosed range. Senior and lead roles receive an automatic seniority uplift. If a salary range is genuinely unknown we leave the field blank rather than show a misleading estimate.
What is a ghost job and how do I spot one?
A ghost job is a listing that has been live for 30+ days and is likely already filled, on hold, or was never a real opening. Research suggests up to 40% of active listings at any time are ghost jobs. Catalitium flags every listing older than 30 days with a triangle May be filled badge so you can prioritise your energy on fresh openings.
What are the highest-paying tech roles right now?
AI and ML engineer roles currently command the highest median salaries on Catalitium, around $150k–$200k USD in the US and EUR 100k–EUR 160k in Europe. Principal and Staff Engineer roles come close, followed by senior full-stack and cloud infrastructure engineers. Use the >100k filter to see only high-compensation listings.
How do I negotiate a higher salary offer?
Reference Catalitium's salary data when negotiating: show the employer the market range for your role and region. Studies show engineers who negotiate receive 10–20% more than the initial offer on average. If base salary is fixed, push on equity, signing bonus, remote allowance, and learning budget. See our Salary Negotiation Guide in the Resources section.
Which European cities pay the most for tech?
Zurich and Geneva (Switzerland) consistently top European tech salaries, followed by London, Amsterdam, Berlin, Paris, and Stockholm. Swiss salaries are typically quoted in CHF and translate to EUR 100k–160k for mid-senior roles. London follows at GBP 70k–110k. Berlin and Amsterdam are competitive at EUR 70k–100k for comparable experience levels.
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Yes. Our free Application Tracker lets you move roles through a Kanban pipeline: Applied, Phone Screen, Interview, Offer, and Closed. It requires no account and stores everything privately in your browser. Hit the Track button on any job card to add it. You can also export your full pipeline as a CSV.
How does Catalitium differ from LinkedIn Jobs?
LinkedIn optimises for engagement and premium upgrades. Catalitium is built exclusively for tech candidates who want signal over noise: every listing shows salary estimates, ghost jobs are flagged, AI-powered summaries save you time reading descriptions, and the application tracker replaces the black-hole Easy Apply experience. No premium paywall, no recruiter spam.
Can I filter to remote-only jobs?
Yes. Choose Remote in the location/country field or tap a Remote shortcut chip. Results are limited to roles that advertise remote or hybrid where the listing text supports it, and remote-friendly rows show a Remote badge.
Which tech stacks are most in demand?
Across Catalitium tech listings, Python, TypeScript/JavaScript, Go, Java, and cloud platforms (AWS, GCP, Azure, Kubernetes) recur most often; AI and data roles add PyTorch, TensorFlow, and LLM tooling. Title and AI summary chips reflect the employer's stated stack.
Which Swiss cities pay the most for software roles?
Zurich and Geneva typically lead Switzerland for software, data, and platform engineering compensation; smaller hubs follow at a discount. Swiss ranges often sit above neighbouring EU markets for comparable seniority—check Est. salary on each card when you filter by Switzerland.
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